Machine learning approach based on fractal analysis for optimal tool life exploitation in CFRP composite drilling for aeronautical assembly

Alessandra Caggiano, Xavier Rimpault, Roberto Teti, Marek Balazinski, Jean-François Chatelain and Luigi Nele

Article (2018)

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Department:	Department of Mechanical Engineering
PolyPublie URL:	https://publications.polymtl.ca/39604/
Journal Title:	CIRP Annals (vol. 67, no. 1)
Publisher:	Elsevier
DOI:	10.1016/j.cirp.2018.04.035
Official URL:	https://doi.org/10.1016/j.cirp.2018.04.035
Date Deposited:	18 Apr 2023 15:03
Last Modified:	08 Apr 2025 07:03

Cite in APA 7:	Caggiano, A., Rimpault, X., Teti, R., Balazinski, M., Chatelain, J.-F., & Nele, L. (2018). Machine learning approach based on fractal analysis for optimal tool life exploitation in CFRP composite drilling for aeronautical assembly. CIRP Annals, 67(1), 483-486. https://doi.org/10.1016/j.cirp.2018.04.035
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